ssMRCD
Spatially Smoothed MRCD Estimator
Estimation of the Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage in an ssMRCD-based outlier detection method as described in Puchhammer and Filzmoser (2023) doi:10.1080/10618600.2023.2277875 and for sparse robust PCA for multi-source data described in Puchhammer, Wilms and Filzmoser (2024) doi:10.48550/arXiv.2407.16299. Included are also complementary visualization and parameter tuning tools.
- Version1.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Puchhammer and Filzmoser (2023)
- Puchhammer, Wilms and Filzmoser (2024)
- Last release08/23/2024
Documentation
Team
Patricia Puchhammer
Peter Filzmoser
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Insights
Last 30 days
This package has been downloaded 193 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,234 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Aug 27, 2024 with 36 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports15 packages
- Suggests3 packages